| weka.classifiers.immune.airs.AIRSParameterDocumentation |
public static final java.lang.String |
PARAM_ARB_INSTANCES |
"Initial ARB cell pool size. Specifies the number of randomly selected training data instances used to seed the ARB cell pool. This paramter must be in the range [0, num training instances]." |
public static final java.lang.String |
PARAM_AT_INSTANCES |
"Total training instances to calculate affinity threshold (AT). Specifies the number of trainign data instances used to calculate the affinity threshold (AT) which is the mean affinity between data instances. A value of -1 indicates to use the entire training dataset." |
public static final java.lang.String |
PARAM_ATS |
"Affinity threshold scalar (ATS). Used with the system calculated affinity threshold to determine whether or not a candidate memory cell can replace the previous best matching memory cell. This occurs if the affinity between the candidate and the best match cell is < (AT * ATS)." |
public static final java.lang.String |
PARAM_CLONAL_RATE |
"Clonal rate. Used to determine the number of mutated clones to create of an ARB during the ARB refinement stage. Calculated as (stimulation * clonal rate)." |
public static final java.lang.String |
PARAM_HMR |
"Hypermutation rate. Used with the clonal rate to determine the number of clones a best matching memory cell can create to then seed the ARB pool with. This is calculated as (stimulation * clonal rate * hypermutation rate)." |
public static final java.lang.String |
PARAM_KNN |
"k-Nearest Neighbour. Specifies the number of best match memory cells used during the classification stage to majority vote hte classification of unseen data instances." |
public static final java.lang.String |
PARAM_MEM_INSTANCES |
"Initial memory cell pool size. Specifies the number of randomly selected training data instances used to seed the memory cell pool. This paramter must be in the range [0, num training instances]." |
public static final java.lang.String |
PARAM_MERGE |
"Memory cell pool merge mode. At the end of training all partitions, the memory cell pools that are prepared are merged into a single master memory cell pool. This paramter allows different methods for creating the master memory cell pool." |
public static final java.lang.String |
PARAM_MUTATION_RATE |
"Mutation rate of cloned ARBs. Used to determine the degree of mutation a cloned ARB is subjected to. Must be in the range of [0,1]." |
public static final java.lang.String |
PARAM_RESOURCES |
"Total allocatable resources. Specifies the maximum number of resources (B-cells) that can be allocated to ARBs in the ARB pool. Those ARBs with the weakest stimulation are removed from the pool until the total allocated resources is less than the maximum allowable resources." |
public static final java.lang.String |
PARAM_SEED |
"Random number seed. The seed used in for random number generator." |
public static final java.lang.String |
PARAM_STIMULATION |
"Stimulation threshold. Used to determine when to stop refining the pool of ARBs for an antigen. This occurs when the mean normalised ARB stimulation value is >= the stimulation threshold. Must be in the range of [0,1]." |
public static final java.lang.String |
PARAM_THREADS |
"Number of partitions. Specifies the number of partitions that the training dataset is broken into and thus the number of threads used to train the classifier." |
| weka.classifiers.neural.common.Constants |
public static final java.lang.String |
DESCRIPTION_CODEBOOK_VECTORS |
"Total number of codebook vectors in the model" |
public static final java.lang.String |
DESCRIPTION_EPSILON |
"Epsilon learning weight modifier used when both BMUs are of the instances class (recommend 0.1 or 0.5 should be smaller for smaller windowSize values)." |
public static final java.lang.String |
DESCRIPTION_LEARNING_RATE |
"Initial learning rate value (recommend 0.3 or 0.5)" |
public static final java.lang.String |
DESCRIPTION_RANDOM_SEED |
"Random number generator seed, default 1, (whole numbers)" |
public static final java.lang.String |
DESCRIPTION_TRAINING_ITERATIONS |
"Total number of training iterations (recommended 30 to 50 times the number of codebook vectors)." |
public static final java.lang.String |
DESCRIPTION_USE_VOTING |
"Use dynamic voting to select the assigned class of each codebook vector, provides automatic handling of misclassified instances." |
public static final java.lang.String |
DESCRIPTION_WINDOW_SIZE |
"Window size matching codebook vectors must be within (recommend 0.2 or 0.3)" |